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. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local
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track-record in first-author scientific publications for Postdoc applications Experience with data-driven machine learning methods for modelling (PINN, Sparse Symbolic Regression methods) High willingness
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Application Procedure: Applicants will need to upload curriculum vitae, name/addresses of at least two references and cover letter expressing area(s) of interest to our online RECRUIT system at https
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to: Collect data through e.g. literature studies regarding the raw materials to be used Perform data analysis and interpret results from chemical and microbial analysis of the raw materials Carry out product
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characterization of electrode materials Design, operate and optimize electrochemical reactors and separation systems, analyze and interpret data using electrochemical and materials characterization techniques (e.g
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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experience in data science and artificial intelligence-driven discovery. Experience using Microsoft Word, PowerPoint, and Excel. Experience finding relevant publications using Scifinder or other search engines
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additional information.) Minimum of 1 year of experience with strong track record of independent research, scientific writing, and scholarly publication. Excellent communication skills and a collaborative
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preliminary data, including: · Investigating the role of a key protein in regulating vesicle trafficking, with relevant biological endpoints already identified. · Exploring the differentiation
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(double-spaced) statement of research interest/research proposal, a writing sample, and the names of two (and not more than two) references. A cover letter is optional. Applicants for this 2026-2027